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Model comparison

GLM-5V-Turbo vs GPT-5.5

Data verified

Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

63.5/100
Margin
10.0pts
winning →
OpenAI
73.51/100
0 category wins0 category wins

Public leaderboard positions: GLM-5V-Turbo #39 (Supported); GPT-5.5 #9 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-5V-Turbo and GPT-5.5 share 14 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to GLM-5V-Turbo; 43 to GPT-5.5.

Updated July 22, 2026
Shared results
14
GLM-5V-Turbo only
1
GPT-5.5 only
43
Comparable categories
0 / 8

Benchmark data for GLM-5V-Turbo and GPT-5.5 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

GPT-5.5 is priced at $5.00 input / $30.00 output per 1M tokens, versus $1.20 input / $4.00 output per 1M tokens for GLM-5V-Turbo. GPT-5.5 has the larger context window at 1M, compared with 200K for GLM-5V-Turbo.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GLM-5V-Turbo and GPT-5.5
CategoryGLM-5V-TurboΔGPT-5.5
AgenticGLM-5V-TurboNot measuredMarginNo overlapGPT-5.581.6
CodingGLM-5V-TurboNot measuredMarginNo overlapGPT-5.558.6
ReasoningGLM-5V-TurboNot measuredMarginNo overlapGPT-5.585.0
KnowledgeGLM-5V-TurboNot measuredMarginNo overlapGPT-5.557.8
MathGLM-5V-TurboNot measuredMarginNo overlapGPT-5.547.6
MultimodalGLM-5V-TurboNot measuredMarginNo overlapGPT-5.570.4

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGLM-5V-TurboGPT-5.5Comparison
Input / output priceUSD per 1M tokensGLM-5V-Turbo$1.2 input / $4 outputGPT-5.5$5 input / $30 outputGLM-5V-Turbo has the lower combined listed price.
Generation speedtokens per secondGLM-5V-TurboNot availableGPT-5.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-5V-TurboNot availableGPT-5.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-5V-Turbo200KGPT-5.51MGPT-5.5 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-5V-TurboGPT-5.5Result
Claw-EvalSource 53.8%Not comparable
τ²-bench resultsSource 98.5%93.9%GLM-5V-Turbo leads
Gert LabsSource 30.76%72.93%GPT-5.5 leads
Terminal-Bench 2.0Source 82%Not comparable
CyberGymSource 81.8%Not comparable
BrowseCompSource 84.4%Not comparable
OSWorld-VerifiedSource 78.7%Not comparable
MCP AtlasSource 75.3%Not comparable
ToolathlonSource 55.6%Not comparable
AA Agentic IndexSource 44.9%Not comparable
APEX-Agents-AASource 37.7%Not comparable
GDPval-AASource 49.5%Not comparable
GDPval-AASource 1490Not comparable
ResearchClawBenchSource 17.0%Not comparable
OSWorld 2.0Source 13.0%Not comparable
JobBenchSource 42.7%Not comparable
ExploitGymSource 13.4%Not comparable
AA BriefcaseSource 1154Not comparable
AA AutomationBenchSource 42.1%Not comparable
AA EnterpriseOps-GymSource 46.6%Not comparable
AA Harvey LABSource 86.3%Not comparable
AA ITBenchSource 45.8%Not comparable
AA Tau3 BankingSource 31.3%Not comparable
terminalBenchHardSource 60.6%Not comparable
aaTerminalBench21Source 84.3%Not comparable
Coding
BenchmarkGLM-5V-TurboGPT-5.5Result
AA-SciCodeSource 43.5%56.1%GPT-5.5 leads
SWE-bench ProSource 58.6%Not comparable
Terminal-Bench 2.0Source 82.0%Not comparable
Vibe Code BenchSource 69.85%Not comparable
React Native EvalsSource 84.7%Not comparable
cursorBench31Source 59.2%Not comparable
cursorBench32Source 58.4%Not comparable
AA Coding IndexSource 74.9%Not comparable
FrontierCode 1.1 MainSource 43.0%Not comparable
Reasoning
BenchmarkGLM-5V-TurboGPT-5.5Result
AA-LCRSource 61.0%74.3%GPT-5.5 leads
CritPtSource 0.6%27.1%GPT-5.5 leads
MRCR v2 64K-128KSource 83.1%Not comparable
MRCR v2 128K-256KSource 87.5%Not comparable
ARC-AGI-2Source 85%Not comparable
Knowledge
BenchmarkGLM-5V-TurboGPT-5.5Result
Artificial Analysis Intelligence IndexSource 34.5%54.8%GPT-5.5 leads
AA-GPQA DiamondSource 80.9%93.5%GPT-5.5 leads
AA-HLESource 15.8%44.3%GPT-5.5 leads
AA-Omniscience IndexSource -19.0%20.1%GPT-5.5 leads
AA-Omniscience AccuracySource 29.1%56.9%GPT-5.5 leads
AA-Omniscience Hallucination RateSource 67.9%85.5%GLM-5V-Turbo leads
GPQASource 93.6%Not comparable
GPQA-DSource 93.6%Not comparable
HLESource 52.2%Not comparable
HLE w/o toolsSource 41.4%Not comparable
Math
BenchmarkGLM-5V-TurboGPT-5.5Result
FrontierMath (legacy)Source 51.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source 51.700%Not comparable
FrontierMath v2 (Tier 4)Source 35.400%Not comparable
Multimodal
BenchmarkGLM-5V-TurboGPT-5.5Result
AA-MMMU-ProSource 72.8%79.9%GPT-5.5 leads
Design Arena WebsiteSource 12581282GPT-5.5 leads
MMMU-ProSource 81.2%Not comparable
MMMU-Pro w/ PythonSource 83.2%Not comparable
OfficeQA ProSource 54.1%Not comparable
Inst. Following
BenchmarkGLM-5V-TurboGPT-5.5Result
AA-IFBenchSource 61.1%75.9%GPT-5.5 leads
Frequently Asked Questions (3)

Can I compare GLM-5V-Turbo and GPT-5.5 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for GLM-5V-Turbo and GPT-5.5 today?

GLM-5V-Turbo: $1.20 input / $4.00 output per 1M tokens GPT-5.5: $5.00 input / $30.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 22, 2026

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